Literature DB >> 9569333

Pulmonary nodules: detection with low-dose vs conventional-dose spiral CT.

M Gartenschläger1, F Schweden, K Gast, T Westermeier, H Kauczor, H von Zitzewitz, M Thelen.   

Abstract

The purpose of the study was the evaluation of low-dose spiral CT in the detection and assessment of contours of pulmonary nodules. In a prospective investigation 71 consecutive chest CT examinations were acquired both at 30 and 200 mA. Films were interpreted independently by two radiologists. According to the size, nodules were divided into four categories: </= 3, 4-5, 6-10, and > 10 mm; nodule shape was registered. With both protocols, 240 nodules were detected. The correlation coefficient for both methods was 0.89. Discrepancies were found most frequently in nodules near to pulmonary vessels. Nodule size estimation did not differ more than one size category. Eight spiculated nodules were identified by both techniques. Low-dose spiral CT of the chest has a high sensitivity in the detection of pulmonary nodules. If clinical circumstances require dose minimization, low-dose spiral CT may be advocated as an alternative screening method to conventional dose spiral CT.

Mesh:

Year:  1998        PMID: 9569333     DOI: 10.1007/s003300050445

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  12 in total

1.  Solitary pulmonary nodule: detection and management.

Authors:  S Diederich; M Das
Journal:  Cancer Imaging       Date:  2006-10-31       Impact factor: 3.909

2.  Detection of pulmonary nodules at multirow-detector CT: effectiveness of double reading to improve sensitivity at standard-dose and low-dose chest CT.

Authors:  Dag Wormanns; Karl Ludwig; Florian Beyer; Walter Heindel; Stefan Diederich
Journal:  Eur Radiol       Date:  2004-11-04       Impact factor: 5.315

3.  A selective kernel-based cycle-consistent generative adversarial network for unpaired low-dose CT denoising.

Authors:  Chaoqun Tan; Mingming Yang; Zhisheng You; Hu Chen; Yi Zhang
Journal:  Precis Clin Med       Date:  2022-05-25

Review 4.  Population screening for lung cancer using computed tomography, is there evidence of clinical effectiveness? A systematic review of the literature.

Authors:  Corri Black; Robyn de Verteuil; Shonagh Walker; Jon Ayres; Angela Boland; Adrian Bagust; Norman Waugh
Journal:  Thorax       Date:  2007-02       Impact factor: 9.139

5.  Screening for lung cancer.

Authors:  Massimo Bellomi; Cristiano Rampinelli; Luigi Funicelli; Gulia Veronesi
Journal:  Cancer Imaging       Date:  2006-10-31       Impact factor: 3.909

6.  Adaptive Statistical Iterative Reconstruction-Applied Ultra-Low-Dose CT with Radiography-Comparable Radiation Dose: Usefulness for Lung Nodule Detection.

Authors:  Hyun Jung Yoon; Myung Jin Chung; Hye Sun Hwang; Jung Won Moon; Kyung Soo Lee
Journal:  Korean J Radiol       Date:  2015-08-21       Impact factor: 3.500

Review 7.  Radiation exposure from chest CT: issues and strategies.

Authors:  Mannudeep K Kalra; Michael M Maher; Stefania Rizzo; David Kanarek; Jo-Anne O Shepard; Jo-Anne O Shephard
Journal:  J Korean Med Sci       Date:  2004-04       Impact factor: 2.153

8.  Standard-dose vs. low-dose CT protocols in the evaluation of localized lung lesions: Capability for lesion characterization-iLEAD study.

Authors:  Takeshi Kubo; Yoshiharu Ohno; Daisuke Takenaka; Mizuki Nishino; Shiva Gautam; Kazuro Sugimura; Hans Ulrich Kauczor; Hiroto Hatabu
Journal:  Eur J Radiol Open       Date:  2016-03-24

9.  Nodule Classification on Low-Dose Unenhanced CT and Standard-Dose Enhanced CT: Inter-Protocol Agreement and Analysis of Interchangeability.

Authors:  Kyung Hee Lee; Kyung Won Lee; Ji Hoon Park; Kyunghwa Han; Jihang Kim; Sang Min Lee; Chang Min Park
Journal:  Korean J Radiol       Date:  2018-04-06       Impact factor: 3.500

10.  Imaging protocols for CT chest: A recommendation.

Authors:  Ashu Seith Bhalla; Abanti Das; Priyanka Naranje; Aparna Irodi; Vimal Raj; Ankur Goyal
Journal:  Indian J Radiol Imaging       Date:  2019-10-30
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